def setUp(self, mock_dual_view, mock_quick_edit, mock_base_view,
mock_plot_canvas, mock_main_view, mock_muon_base_view,
mock_muon_canvas):
self.mock_dual_view = mock_dual_view
self.mock_quick_edit = mock_quick_edit
self.mock_main_view = mock_main_view
self.mock_base_view = mock_base_view
self.mock_plot_canvas = mock_plot_canvas
self.mock_muon_base_view = mock_muon_base_view
self.mock_muon_canvas = mock_muon_canvas
self.canvas = {}
self._num_count = 0
self._letter_count = 0
self.mock_dual_view.return_value = mock.MagicMock(
autospec=DualPlotMaxentPaneView)
self.mock_quick_edit.return_value = mock.MagicMock(
autospec=DualQuickEditWidget)
self.mock_main_view.return_value = mock.MagicMock(
autospec=MainPlotWidgetView)
self.mock_base_view.return_value = mock.MagicMock(
autospec=BasePaneView)
self.mock_plot_canvas.side_effect = self.canvas_mocks
self.mock_muon_base_view.return_value = mock.MagicMock(
autospec=BasePaneView)
self.mock_muon_canvas.side_effect = self.canvas_mocks
self.context = setup_context(freq=True)
self.widget = FrequencyAnalysisPlotWidget(self.context)
def __init__(self, parent=None, window_flags=None):
super(FrequencyAnalysisGui, self).__init__(parent)
if window_flags:
self.setWindowFlags(window_flags)
self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
self.setFocusPolicy(QtCore.Qt.StrongFocus)
try:
check_facility()
except AttributeError as error:
self.warning_popup(error.args[0])
# load the feature flags
feature_dict = load_features()
# initialise the data storing classes of the interface
self.loaded_data = MuonLoadData()
self.data_context = MuonDataContext('Frequency Domain Data',
self.loaded_data)
self.gui_context = MuonGuiContext()
self.plot_panes_context = PlotPanesContext()
self.group_pair_context = MuonGroupPairContext(
self.data_context.check_group_contains_valid_detectors)
self.corrections_context = CorrectionsContext(self.loaded_data)
self.phase_context = PhaseTableContext()
self.fitting_context = BasicFittingContext(
allow_double_pulse_fitting=True)
self.results_context = ResultsContext()
self.model_fitting_context = ModelFittingContext(
allow_double_pulse_fitting=False)
self.frequency_context = FrequencyContext()
self.context = FrequencyDomainAnalysisContext(
muon_data_context=self.data_context,
muon_gui_context=self.gui_context,
muon_group_context=self.group_pair_context,
corrections_context=self.corrections_context,
muon_phase_context=self.phase_context,
plot_panes_context=self.plot_panes_context,
fitting_context=self.fitting_context,
results_context=self.results_context,
model_fitting_context=self.model_fitting_context,
frequency_context=self.frequency_context)
# create the dockable widget
self.plot_widget = FrequencyAnalysisPlotWidget(self.context,
parent=self)
self.dockable_plot_widget_window = PlottingDockWidget(
parent=self, plotting_widget=self.plot_widget.view)
self.dockable_plot_widget_window.setMinimumWidth(575)
# Add dock widget to main Muon analysis window
self.addDockWidget(QtCore.Qt.RightDockWidgetArea,
self.dockable_plot_widget_window)
# Need this line to stop the bug where the dock window snaps back to its original size after resizing.
# 0 argument is arbitrary and has no effect on fit widget size
# This is a qt bug reported at (https://bugreports.qt.io/browse/QTBUG-65592)
if QT_VERSION >= LooseVersion("5.6"):
self.resizeDocks({self.dockable_plot_widget_window}, {1},
QtCore.Qt.Horizontal)
# construct all the widgets.
self.load_widget = LoadWidget(self.loaded_data, self.context, self)
self.grouping_tab_widget = GroupingTabWidget(self.context, parent)
self.corrections_tab = CorrectionsTabWidget(self.context, self)
self.home_tab = HomeTabWidget(self.context, self)
self.phase_tab = PhaseTabWidget(self.context, self)
self.transform = TransformWidget(self.context,
FFTWidget,
MaxEntWidget,
parent=self)
self.fitting_tab = FittingTabWidget(self.context, self)
self.seq_fitting_tab = SeqFittingTabWidget(
self.context, self.fitting_tab.fitting_tab_model, self)
self.results_tab = ResultsTabWidget(self.context.fitting_context,
self.context, self)
self.add_model_analysis = AddModelAnalysis(self, feature_dict)
self.add_raw_plots = AddRawPlots(self, feature_dict)
self.add_fitting = AddFitting(self, feature_dict)
setup_group_ws = AddGroupingWorkspaces(self, feature_dict)
self.setup_tabs()
self.plot_widget.insert_plot_panes()
self.help_widget = HelpWidget(self.context.window_title)
central_widget = QtWidgets.QWidget()
vertical_layout = QtWidgets.QVBoxLayout()
vertical_layout.addWidget(self.load_widget.load_widget_view)
vertical_layout.addWidget(self.tabs)
vertical_layout.addWidget(self.help_widget.view)
central_widget.setLayout(vertical_layout)
central_widget.setSizePolicy(
QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Maximum,
QtWidgets.QSizePolicy.Maximum))
self.disable_notifier = GenericObservable()
self.disable_observer = GenericObserver(
self.disable_notifier.notify_subscribers)
self.enable_notifier = GenericObservable()
self.enable_observer = GenericObserver(
self.enable_notifier.notify_subscribers)
self.setup_disable_notifier()
self.setup_enable_notifier()
self.setCentralWidget(central_widget)
self.setWindowTitle(self.context.window_title)
self.setup_load_observers()
self.setup_gui_variable_observers()
self.setup_grouping_changed_observers()
self.setup_corrections_changed_observers()
self.setup_instrument_changed_notifier()
self.setup_group_calculation_enable_notifier()
self.setup_group_calculation_disabler_notifier()
self.setup_on_load_enabler()
self.setup_on_load_disabler()
self.setup_phase_quad_changed_notifier()
self.setup_phase_table_changed_notifier()
self.setup_fitting_notifier()
self.setup_counts_calculation_finished_notifier()
self.setup_asymmetry_pair_and_diff_calculations_finished_notifier()
self.setup_transform()
self.context.data_context.message_notifier.add_subscriber(
self.grouping_tab_widget.group_tab_presenter.message_observer)
self.add_model_analysis.add_observers_to_feature(self)
self.add_model_analysis.set_feature_observables(self)
self.add_raw_plots.add_observers_to_feature(self)
setup_group_ws.add_observers_to_feature(self)
class FrequencyAnalysisGui(QtWidgets.QMainWindow):
"""
The Frequency Domain Analaysis 2.0 interface.
"""
@staticmethod
def warning_popup(message):
message_box.warning(str(message))
def __init__(self, parent=None, window_flags=None):
super(FrequencyAnalysisGui, self).__init__(parent)
if window_flags:
self.setWindowFlags(window_flags)
self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
self.setFocusPolicy(QtCore.Qt.StrongFocus)
try:
check_facility()
except AttributeError as error:
self.warning_popup(error.args[0])
# load the feature flags
feature_dict = load_features()
# initialise the data storing classes of the interface
self.loaded_data = MuonLoadData()
self.data_context = MuonDataContext('Frequency Domain Data',
self.loaded_data)
self.gui_context = MuonGuiContext()
self.plot_panes_context = PlotPanesContext()
self.group_pair_context = MuonGroupPairContext(
self.data_context.check_group_contains_valid_detectors)
self.corrections_context = CorrectionsContext(self.loaded_data)
self.phase_context = PhaseTableContext()
self.fitting_context = BasicFittingContext(
allow_double_pulse_fitting=True)
self.results_context = ResultsContext()
self.model_fitting_context = ModelFittingContext(
allow_double_pulse_fitting=False)
self.frequency_context = FrequencyContext()
self.context = FrequencyDomainAnalysisContext(
muon_data_context=self.data_context,
muon_gui_context=self.gui_context,
muon_group_context=self.group_pair_context,
corrections_context=self.corrections_context,
muon_phase_context=self.phase_context,
plot_panes_context=self.plot_panes_context,
fitting_context=self.fitting_context,
results_context=self.results_context,
model_fitting_context=self.model_fitting_context,
frequency_context=self.frequency_context)
# create the dockable widget
self.plot_widget = FrequencyAnalysisPlotWidget(self.context,
parent=self)
self.dockable_plot_widget_window = PlottingDockWidget(
parent=self, plotting_widget=self.plot_widget.view)
self.dockable_plot_widget_window.setMinimumWidth(575)
# Add dock widget to main Muon analysis window
self.addDockWidget(QtCore.Qt.RightDockWidgetArea,
self.dockable_plot_widget_window)
# Need this line to stop the bug where the dock window snaps back to its original size after resizing.
# 0 argument is arbitrary and has no effect on fit widget size
# This is a qt bug reported at (https://bugreports.qt.io/browse/QTBUG-65592)
if QT_VERSION >= LooseVersion("5.6"):
self.resizeDocks({self.dockable_plot_widget_window}, {1},
QtCore.Qt.Horizontal)
# construct all the widgets.
self.load_widget = LoadWidget(self.loaded_data, self.context, self)
self.grouping_tab_widget = GroupingTabWidget(self.context, parent)
self.corrections_tab = CorrectionsTabWidget(self.context, self)
self.home_tab = HomeTabWidget(self.context, self)
self.phase_tab = PhaseTabWidget(self.context, self)
self.transform = TransformWidget(self.context,
FFTWidget,
MaxEntWidget,
parent=self)
self.fitting_tab = FittingTabWidget(self.context, self)
self.seq_fitting_tab = SeqFittingTabWidget(
self.context, self.fitting_tab.fitting_tab_model, self)
self.results_tab = ResultsTabWidget(self.context.fitting_context,
self.context, self)
self.add_model_analysis = AddModelAnalysis(self, feature_dict)
self.add_raw_plots = AddRawPlots(self, feature_dict)
self.add_fitting = AddFitting(self, feature_dict)
setup_group_ws = AddGroupingWorkspaces(self, feature_dict)
self.setup_tabs()
self.plot_widget.insert_plot_panes()
self.help_widget = HelpWidget(self.context.window_title)
central_widget = QtWidgets.QWidget()
vertical_layout = QtWidgets.QVBoxLayout()
vertical_layout.addWidget(self.load_widget.load_widget_view)
vertical_layout.addWidget(self.tabs)
vertical_layout.addWidget(self.help_widget.view)
central_widget.setLayout(vertical_layout)
central_widget.setSizePolicy(
QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Maximum,
QtWidgets.QSizePolicy.Maximum))
self.disable_notifier = GenericObservable()
self.disable_observer = GenericObserver(
self.disable_notifier.notify_subscribers)
self.enable_notifier = GenericObservable()
self.enable_observer = GenericObserver(
self.enable_notifier.notify_subscribers)
self.setup_disable_notifier()
self.setup_enable_notifier()
self.setCentralWidget(central_widget)
self.setWindowTitle(self.context.window_title)
self.setup_load_observers()
self.setup_gui_variable_observers()
self.setup_grouping_changed_observers()
self.setup_corrections_changed_observers()
self.setup_instrument_changed_notifier()
self.setup_group_calculation_enable_notifier()
self.setup_group_calculation_disabler_notifier()
self.setup_on_load_enabler()
self.setup_on_load_disabler()
self.setup_phase_quad_changed_notifier()
self.setup_phase_table_changed_notifier()
self.setup_fitting_notifier()
self.setup_counts_calculation_finished_notifier()
self.setup_asymmetry_pair_and_diff_calculations_finished_notifier()
self.setup_transform()
self.context.data_context.message_notifier.add_subscriber(
self.grouping_tab_widget.group_tab_presenter.message_observer)
self.add_model_analysis.add_observers_to_feature(self)
self.add_model_analysis.set_feature_observables(self)
self.add_raw_plots.add_observers_to_feature(self)
setup_group_ws.add_observers_to_feature(self)
def setup_transform(self):
self.transform.set_up_calculation_observers(
self.fitting_tab.fitting_tab_view.enable_tab_observer,
self.fitting_tab.fitting_tab_view.disable_tab_observer)
self.transform.new_data_observer(self.transform_finished_observer)
self.transform._maxent._presenter.calculation_finished_notifier.add_subscriber(
self.plot_widget.maxent_mode.new_data_observer)
self.transform._maxent._presenter.new_reconstructed_data.add_subscriber(
self.plot_widget.maxent_mode.reconstructed_data_observer)
self.transform._maxent._presenter.method_changed.add_subscriber(
self.plot_widget.maxent_mode.method_changed)
self.transform._maxent._presenter.period_changed.add_subscriber(
self.plot_widget.maxent_mode.period_changed)
self.context.data_context.instrumentNotifier.add_subscriber(
self.plot_widget.maxent_mode.instrument_observer)
self.update_fits_observer = GenericObserver(self.handle_units_changed)
self.plot_widget.update_freq_units_add_subscriber(
self.update_fits_observer)
def setup_tabs(self):
"""
Set up the tabbing structure; the tabs work similarly to conventional
web browsers.
"""
self.tabs = DetachableTabWidget(self)
self.tabs.addTabWithOrder(self.home_tab.home_tab_view, 'Home')
self.tabs.addTabWithOrder(self.grouping_tab_widget.group_tab_view,
'Grouping')
self.tabs.addTabWithOrder(self.corrections_tab.corrections_tab_view,
"Corrections")
self.tabs.addTabWithOrder(self.phase_tab.phase_table_view,
'Phase Table')
self.tabs.addTabWithOrder(self.transform.widget, 'Transform')
self.tabs.addTabWithOrder(self.fitting_tab.fitting_tab_view, 'Fitting')
self.tabs.addTabWithOrder(self.seq_fitting_tab.seq_fitting_tab_view,
'Sequential Fitting')
self.tabs.addTabWithOrder(self.results_tab.results_tab_view, 'Results')
self.add_model_analysis.add_to_tab(self)
self.transform_finished_observer = GenericObserverWithArgPassing(
self.handle_transform_performed)
self.tabs.set_slot_for_tab_changed(self.handle_tab_changed)
self.tabs.setElideMode(QtCore.Qt.ElideNone)
self.tabs.setUsesScrollButtons(False)
def handle_tab_changed(self):
index = self.tabs.currentIndex()
if TAB_ORDER[index] in [
"Home", "Grouping", "Corrections", "Phase Table"
]: # Plot all the selected data
plot_mode = self.plot_widget.data_index
elif TAB_ORDER[index] in [
"Fitting", "Sequential Fitting", "Transform"
]: # Plot the displayed workspace
plot_mode = self.plot_widget.fit_index
elif TAB_ORDER[index] in ["Model Fitting"]:
plot_mode = self.plot_widget.model_fit_index
else:
return
self.plot_widget.set_plot_view(plot_mode)
def handle_transform_performed(self, new_data_workspace_name):
self.update_fit_ws_list()
self.fitting_tab.fitting_tab_presenter.set_selected_dataset(
new_data_workspace_name)
def handle_units_changed(self):
old_name = self.fitting_tab.fitting_tab_presenter.current_dataset()
if old_name == "":
return
self.update_fit_ws_list()
new_name = self.frequency_context.switch_units_in_name(old_name)
self.fitting_tab.fitting_tab_presenter.set_selected_dataset(new_name)
x_lim = self.frequency_context.range()
self.fitting_tab.fitting_tab_presenter.update_start_and_end_x_in_view_and_model(
x_lim[0], x_lim[1])
def update_fit_ws_list(self):
self.fitting_tab.fitting_tab_presenter.handle_new_data_loaded()
self.seq_fitting_tab.seq_fitting_tab_presenter.handle_selected_workspaces_changed(
)
def set_tab_warning(self, tab_name: str, message: str):
"""Sets a warning message as the tooltip of the provided tab."""
self.tabs.set_tab_warning(TAB_ORDER.index(tab_name), message)
def setup_disable_notifier(self):
self.disable_notifier.add_subscriber(
self.home_tab.home_tab_widget.disable_observer)
self.disable_notifier.add_subscriber(
self.load_widget.load_widget.disable_observer)
self.disable_notifier.add_subscriber(
self.grouping_tab_widget.group_tab_presenter.disable_tab_observer)
self.disable_notifier.add_subscriber(
self.corrections_tab.corrections_tab_view.disable_tab_observer)
self.disable_notifier.add_subscriber(
self.fitting_tab.fitting_tab_view.disable_tab_observer)
self.disable_notifier.add_subscriber(
self.seq_fitting_tab.seq_fitting_tab_presenter.disable_tab_observer
)
self.disable_notifier.add_subscriber(
self.phase_tab.phase_table_presenter.disable_tab_observer)
self.disable_notifier.add_subscriber(
self.results_tab.results_tab_presenter.disable_tab_observer)
self.disable_notifier.add_subscriber(self.transform.disable_observer)
def setup_enable_notifier(self):
self.enable_notifier.add_subscriber(
self.home_tab.home_tab_widget.enable_observer)
self.enable_notifier.add_subscriber(
self.load_widget.load_widget.enable_observer)
self.enable_notifier.add_subscriber(
self.corrections_tab.corrections_tab_view.enable_tab_observer)
self.enable_notifier.add_subscriber(
self.fitting_tab.fitting_tab_view.enable_tab_observer)
self.enable_notifier.add_subscriber(
self.seq_fitting_tab.seq_fitting_tab_presenter.enable_tab_observer)
self.enable_notifier.add_subscriber(
self.phase_tab.phase_table_presenter.enable_tab_observer)
self.enable_notifier.add_subscriber(
self.results_tab.results_tab_presenter.enable_tab_observer)
self.enable_notifier.add_subscriber(self.transform.enable_observer)
self.enable_notifier.add_subscriber(
self.grouping_tab_widget.group_tab_presenter.enable_tab_observer)
def setup_load_observers(self):
self.load_widget.load_widget.loadNotifier.add_subscriber(
self.home_tab.home_tab_widget.loadObserver)
self.load_widget.load_widget.loadNotifier.add_subscriber(
self.grouping_tab_widget.group_tab_presenter.loadObserver)
self.load_widget.load_widget.loadNotifier.add_subscriber(
self.corrections_tab.corrections_tab_presenter.load_observer)
self.load_widget.load_widget.loadNotifier.add_subscriber(
self.phase_tab.phase_table_presenter.run_change_observer)
self.load_widget.load_widget.loadNotifier.add_subscriber(
self.fitting_tab.fitting_tab_view.disable_tab_observer)
self.load_widget.load_widget.loadNotifier.add_subscriber(
self.seq_fitting_tab.seq_fitting_tab_presenter.disable_tab_observer
)
def setup_gui_variable_observers(self):
self.context.gui_context.gui_variables_notifier.add_subscriber(
self.grouping_tab_widget.group_tab_presenter.gui_variables_observer
)
for observer in self.plot_widget.rebin_options_set_observers:
self.context.gui_context.gui_variables_notifier.add_subscriber(
observer)
self.grouping_tab_widget.pairing_table_widget.selected_pair_changed_notifier.add_subscriber(
self.plot_widget.data_mode.added_group_or_pair_observer)
self.grouping_tab_widget.pairing_table_widget.selected_pair_changed_notifier.add_subscriber(
self.transform.GroupPairObserver)
self.grouping_tab_widget.grouping_table_widget.selected_group_changed_notifier.add_subscriber(
self.transform.GroupPairObserver)
self.grouping_tab_widget.grouping_table_widget.selected_group_changed_notifier.add_subscriber(
self.plot_widget.data_mode.added_group_or_pair_observer)
# differences
self.grouping_tab_widget.diff_table.add_subscribers([
self.transform.GroupPairObserver,
self.plot_widget.data_mode.added_group_or_pair_observer
])
self.fitting_tab.fitting_tab_presenter.fit_function_changed_notifier.add_subscriber(
self.seq_fitting_tab.seq_fitting_tab_presenter.
fit_function_updated_observer)
self.fitting_tab.fitting_tab_presenter.fit_parameter_changed_notifier.add_subscriber(
self.seq_fitting_tab.seq_fitting_tab_presenter.
fit_parameter_updated_observer)
self.seq_fitting_tab.seq_fitting_tab_presenter.fit_parameter_changed_notifier.add_subscriber(
self.fitting_tab.fitting_tab_presenter.
fit_parameter_updated_observer)
self.seq_fitting_tab.seq_fitting_tab_presenter.sequential_fit_finished_notifier.add_subscriber(
self.fitting_tab.fitting_tab_presenter.
sequential_fit_finished_observer)
self.fitting_tab.fitting_tab_presenter.selected_fit_results_changed.add_subscriber(
self.plot_widget.fit_mode.plot_selected_fit_observer)
self.seq_fitting_tab.seq_fitting_tab_presenter.selected_sequential_fit_notifier.add_subscriber(
self.plot_widget.fit_mode.plot_selected_fit_observer)
self.phase_tab.phase_table_presenter.selected_phasequad_changed_notifier.add_subscriber(
self.plot_widget.data_mode.added_group_or_pair_observer)
self.phase_tab.phase_table_presenter.selected_phasequad_changed_notifier.add_subscriber(
self.transform.GroupPairObserver)
self.phase_tab.phase_table_presenter.selected_phasequad_changed_notifier.add_subscriber(
self.seq_fitting_tab.seq_fitting_tab_presenter.
selected_workspaces_observer)
def setup_grouping_changed_observers(self):
self.grouping_tab_widget.group_tab_presenter.groupingNotifier.add_subscriber(
self.home_tab.home_tab_widget.groupingObserver)
self.grouping_tab_widget.group_tab_presenter.groupingNotifier.add_subscriber(
self.transform.GroupPairObserver)
self.grouping_tab_widget.group_tab_presenter.groupingNotifier.add_subscriber(
self.phase_tab.phase_table_presenter.group_change_observer)
def setup_corrections_changed_observers(self):
self.corrections_tab.corrections_tab_presenter.perform_corrections_notifier.add_subscriber(
self.grouping_tab_widget.group_tab_presenter.gui_variables_observer
)
def setup_instrument_changed_notifier(self):
self.context.data_context.instrumentNotifier.add_subscriber(
self.home_tab.home_tab_widget.instrumentObserver)
self.context.data_context.instrumentNotifier.add_subscriber(
self.load_widget.load_widget.instrumentObserver)
self.context.data_context.instrumentNotifier.add_subscriber(
self.grouping_tab_widget.group_tab_presenter.instrumentObserver)
self.context.data_context.instrumentNotifier.add_subscriber(
self.corrections_tab.corrections_tab_presenter.
instrument_changed_observer)
self.context.data_context.instrumentNotifier.add_subscriber(
self.transform.instrumentObserver)
self.context.data_context.instrumentNotifier.add_subscriber(
self.phase_tab.phase_table_presenter.instrument_changed_observer)
self.context.data_context.instrumentNotifier.add_subscriber(
self.fitting_tab.fitting_tab_presenter.instrument_changed_observer)
for observer in self.plot_widget.clear_plot_observers:
self.context.data_context.instrumentNotifier.add_subscriber(
observer)
def setup_group_calculation_enable_notifier(self):
self.grouping_tab_widget.group_tab_presenter.enable_editing_notifier.add_subscriber(
self.enable_observer)
self.corrections_tab.corrections_tab_presenter.enable_editing_notifier.add_subscriber(
self.enable_observer)
self.fitting_tab.fitting_tab_presenter.enable_editing_notifier.add_subscriber(
self.enable_observer)
self.phase_tab.phase_table_presenter.enable_editing_notifier.add_subscriber(
self.enable_observer)
def setup_group_calculation_disabler_notifier(self):
self.grouping_tab_widget.group_tab_presenter.disable_editing_notifier.add_subscriber(
self.disable_observer)
self.corrections_tab.corrections_tab_presenter.disable_editing_notifier.add_subscriber(
self.disable_observer)
self.fitting_tab.fitting_tab_presenter.disable_editing_notifier.add_subscriber(
self.disable_observer)
self.phase_tab.phase_table_presenter.disable_editing_notifier.add_subscriber(
self.disable_observer)
def setup_on_load_enabler(self):
self.load_widget.load_widget.load_run_widget.enable_notifier.add_subscriber(
self.home_tab.home_tab_widget.enable_observer)
self.load_widget.load_widget.load_run_widget.enable_notifier.add_subscriber(
self.grouping_tab_widget.group_tab_presenter.enable_observer)
self.load_widget.load_widget.load_run_widget.enable_notifier.add_subscriber(
self.transform.enable_observer)
def setup_on_load_disabler(self):
self.load_widget.load_widget.load_run_widget.disable_notifier.add_subscriber(
self.home_tab.home_tab_widget.disable_observer)
self.load_widget.load_widget.load_run_widget.disable_notifier.add_subscriber(
self.grouping_tab_widget.group_tab_presenter.disable_observer)
self.load_widget.load_widget.load_run_widget.disable_notifier.add_subscriber(
self.transform.disable_observer)
def setup_counts_calculation_finished_notifier(self):
self.grouping_tab_widget.group_tab_presenter.counts_calculation_finished_notifier.add_subscriber(
self.corrections_tab.corrections_tab_presenter.
pre_process_and_counts_calculated_observer)
def setup_asymmetry_pair_and_diff_calculations_finished_notifier(self):
for observer in self.plot_widget.data_changed_observers:
self.corrections_tab.corrections_tab_presenter.asymmetry_pair_and_diff_calculations_finished_notifier.\
add_subscriber(observer)
self.phase_tab.phase_table_presenter.calculation_finished_notifier.add_subscriber(
observer)
self.corrections_tab.corrections_tab_presenter.asymmetry_pair_and_diff_calculations_finished_notifier.add_subscriber(
self.transform.load_observer)
self.corrections_tab.corrections_tab_presenter.asymmetry_pair_and_diff_calculations_finished_notifier.add_subscriber(
self.seq_fitting_tab.seq_fitting_tab_presenter.
selected_workspaces_observer)
def setup_phase_quad_changed_notifier(self):
self.phase_tab.phase_table_presenter.phasequad_calculation_complete_notifier.add_subscriber(
self.transform.phase_quad_observer)
def setup_phase_table_changed_notifier(self):
self.phase_tab.phase_table_presenter.phase_table_calculation_complete_notifier.add_subscriber(
self.transform._maxent._presenter.phase_table_observer)
self.transform._maxent._presenter.new_phase_table.add_subscriber(
self.phase_tab.phase_table_presenter.phase_table_observer)
def setup_fitting_notifier(self):
"""Connect fitting and results tabs to inform of new fits"""
self.fitting_context.new_fit_results_notifier.add_subscriber(
self.results_tab.results_tab_presenter.new_fit_performed_observer)
self.fitting_tab.fitting_tab_presenter.remove_plot_guess_notifier.add_subscriber(
self.plot_widget.fit_mode.remove_plot_guess_observer)
self.fitting_tab.fitting_tab_presenter.update_plot_guess_notifier.add_subscriber(
self.plot_widget.fit_mode.update_plot_guess_observer)
def closeEvent(self, event):
self.tabs.closeEvent(event)
self.context.ads_observer.unsubscribe()
self.grouping_tab_widget.group_tab_presenter.closePeriodInfoWidget()
super(FrequencyAnalysisGui, self).closeEvent(event)
class FrequencyAnalysisPlotWidgetTest(unittest.TestCase):
def make_canvas_mock(self, key):
self.canvas[key] = mock.MagicMock(autospec=PlottingCanvasWidget)
return self.canvas[key]
def canvas_mocks(self, parent, context, plot_model, figure_options=None):
if plot_model.name == "Plot Data":
return self.make_canvas_mock(DATA)
elif plot_model.name == "Frequency Data":
return self.make_canvas_mock(FIT)
elif plot_model.name == "Raw Data":
return self.make_canvas_mock(RAW)
elif plot_model.name == "Model Data":
return self.make_canvas_mock(MODEL)
elif plot_model.name == "Maxent Dual plot":
return self.make_canvas_mock(MAXENT)
return self.make_canvas_mock("not found")
# set up get methods for mock view
@property
def mock_view(self):
return self.mock_main_view.return_value
# since some functions are only called as part of the inherited class, we need to patch them there
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.PlottingCanvasWidget'
)
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.BasePaneView'
)
@mock.patch(
'mantidqtinterfaces.Muon.GUI.FrequencyDomainAnalysis.plot_widget.frequency_analysis_plot_widget.MainPlotWidgetView'
)
@mock.patch(
'mantidqtinterfaces.Muon.GUI.FrequencyDomainAnalysis.plot_widget.frequency_analysis_plot_widget.PlottingCanvasWidget'
)
@mock.patch(
'mantidqtinterfaces.Muon.GUI.FrequencyDomainAnalysis.plot_widget.frequency_analysis_plot_widget.BasePaneView'
)
@mock.patch(
'mantidqtinterfaces.Muon.GUI.FrequencyDomainAnalysis.plot_widget.frequency_analysis_plot_widget.DualQuickEditWidget'
)
@mock.patch(
'mantidqtinterfaces.Muon.GUI.FrequencyDomainAnalysis.plot_widget.frequency_analysis_plot_widget.DualPlotMaxentPaneView'
)
def setUp(self, mock_dual_view, mock_quick_edit, mock_base_view,
mock_plot_canvas, mock_main_view, mock_muon_base_view,
mock_muon_canvas):
self.mock_dual_view = mock_dual_view
self.mock_quick_edit = mock_quick_edit
self.mock_main_view = mock_main_view
self.mock_base_view = mock_base_view
self.mock_plot_canvas = mock_plot_canvas
self.mock_muon_base_view = mock_muon_base_view
self.mock_muon_canvas = mock_muon_canvas
self.canvas = {}
self._num_count = 0
self._letter_count = 0
self.mock_dual_view.return_value = mock.MagicMock(
autospec=DualPlotMaxentPaneView)
self.mock_quick_edit.return_value = mock.MagicMock(
autospec=DualQuickEditWidget)
self.mock_main_view.return_value = mock.MagicMock(
autospec=MainPlotWidgetView)
self.mock_base_view.return_value = mock.MagicMock(
autospec=BasePaneView)
self.mock_plot_canvas.side_effect = self.canvas_mocks
self.mock_muon_base_view.return_value = mock.MagicMock(
autospec=BasePaneView)
self.mock_muon_canvas.side_effect = self.canvas_mocks
self.context = setup_context(freq=True)
self.widget = FrequencyAnalysisPlotWidget(self.context)
def test_setup(self):
# want to check that by default only data, fit and maxent panes
# check we have correct number of canvases, views etc.
self.assertEqual(self.mock_plot_canvas.call_count, 2)
self.assertEqual(self.mock_muon_canvas.call_count, 1)
self.assertEqual(self.mock_muon_base_view.call_count, 1)
self.assertEqual(self.mock_base_view.call_count, 1)
self.assertEqual(self.mock_dual_view.call_count, 1)
# check panes have been added, its just a list
self.assertEqual(len(self.widget._panes), 3)
# check the plot modes have been added
self.assertEqual(list(self.widget.modes.keys()), [DATA, FIT, MAXENT])
self.assertEqual(self.widget.modes[DATA].name, "Plot Data")
# frequency is fit in this widget
self.assertEqual(self.widget.modes[FIT].name, "Frequency Data")
self.assertEqual(self.widget.modes[MAXENT].name, "Maxent Dual plot")
def number_list(self):
self._num_count += 1
outputs = ["not used", "data 1", "fit 2", "maxent 3", "4"]
return outputs[self._num_count]
def letter_list(self):
self._letter_count += 1
outputs = ["not used", "data a", "fit b", "maxent c", "d"]
return outputs[self._letter_count]
def test_insert_plot_panes(self):
type(self.mock_view).get_plot_mode = mock.PropertyMock(
return_value="Plot Data")
for key in self.widget.modes.keys():
type(self.widget.modes[key]
).workspace_replaced_in_ads_observer = mock.PropertyMock(
return_value=self.number_list())
type(self.widget.modes[key]
).workspace_deleted_from_ads_observer = mock.PropertyMock(
return_value=self.letter_list())
self.context.update_plots_notifier.add_subscriber = mock.Mock()
self.context.deleted_plots_notifier.add_subscriber = mock.Mock()
self.widget.insert_plot_panes()
self.context.update_plots_notifier.add_subscriber.assert_any_call(
"data 1")
self.context.update_plots_notifier.add_subscriber.assert_any_call(
"fit 2")
self.context.update_plots_notifier.add_subscriber.assert_any_call(
"maxent 3")
self.assertEqual(
self.context.update_plots_notifier.add_subscriber.call_count, 3)
self.context.deleted_plots_notifier.add_subscriber.assert_any_call(
"data a")
self.context.deleted_plots_notifier.add_subscriber.assert_any_call(
"fit b")
self.context.deleted_plots_notifier.add_subscriber.assert_any_call(
"maxent c")
self.assertEqual(
self.context.deleted_plots_notifier.add_subscriber.call_count, 3)
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.MainPlotWidgetView'
)
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.PlottingCanvasWidget'
)
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.BasePaneView'
)
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.RawPaneView'
)
def add_all_panes(self, mock_raw_view, mock_base_view, mock_plot_canvas,
mock_main_view):
self.mock_main_view = mock_main_view
self.mock_base_view = mock_base_view
self.mock_raw_view = mock_raw_view
self.mock_plot_canvas = mock_plot_canvas
self.mock_main_view.return_value = mock.MagicMock(
autospec=MainPlotWidgetView)
self.mock_base_view.return_value = mock.MagicMock(
autospec=BasePaneView)
self.mock_raw_view.return_value = mock.MagicMock(autospec=RawPaneView)
self.mock_plot_canvas.side_effect = self.canvas_mocks
# can exclude the defaults (data and fit)
self.widget.create_model_fit_pane()
self.widget.create_raw_pane()
# mock the update methods in new panes
self.widget.modes[RAW].handle_data_updated = mock.Mock()
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.MainPlotWidgetPresenter'
)
def test_plot_mode_changed_by_user_leave_data(self, mock_presenter):
mock_presenter.return_value = mock.MagicMock(
autospec=MainPlotWidgetPresenter)
self.add_all_panes()
self.widget.insert_plot_panes()
self.widget._current_plot_mode = "Plot Data"
type(mock_presenter.return_value).get_plot_mode = "Raw Data"
self.widget.handle_plot_mode_changed_by_user()
self.canvas[DATA].set_quick_edit_info.assert_not_called()
self.canvas[FIT].set_quick_edit_info.assert_not_called()
mock_presenter.return_value.hide.assert_called_once_with("Plot Data")
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.MainPlotWidgetPresenter'
)
def test_plot_mode_changed_by_user_leave_fit(self, mock_presenter):
mock_presenter.return_value = mock.MagicMock(
autospec=MainPlotWidgetPresenter)
self.add_all_panes()
self.widget.insert_plot_panes()
self.widget._current_plot_mode = "Fit Data"
type(mock_presenter.return_value).get_plot_mode = mock.PropertyMock(
return_value="Raw Data")
self.widget.handle_plot_mode_changed_by_user()
mock_presenter.return_value.hide.assert_called_once_with("Fit Data")
self.canvas[DATA].set_quick_edit_info.assert_not_called()
self.canvas[FIT].set_quick_edit_info.assert_not_called()
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.MainPlotWidgetPresenter'
)
def test_plot_mode_changed_by_user_leave_raw(self, mock_presenter):
mock_presenter.return_value = mock.MagicMock(
autospec=MainPlotWidgetPresenter)
self.add_all_panes()
self.widget.insert_plot_panes()
self.widget._current_plot_mode = "Raw Data"
type(mock_presenter.return_value).get_plot_mode = mock.PropertyMock(
return_value="Fit Data")
self.widget.handle_plot_mode_changed_by_user()
# check it does not force any plots to update
self.canvas[DATA].set_quick_edit_info.assert_not_called()
self.canvas[FIT].set_quick_edit_info.assert_not_called()
mock_presenter.return_value.hide.assert_called_once_with("Raw Data")
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.MainPlotWidgetPresenter'
)
def test_plot_mode_changed_by_user_leave_model(self, mock_presenter):
mock_presenter.return_value = mock.MagicMock(
autospec=MainPlotWidgetPresenter)
self.add_all_panes()
self.widget.insert_plot_panes()
self.widget._current_plot_mode = "Model Data"
type(mock_presenter.return_value).get_plot_mode = mock.PropertyMock(
return_value="Fit Data")
self.widget.handle_plot_mode_changed_by_user()
# check it does not force any plots to update
self.canvas[DATA].set_quick_edit_info.assert_not_called()
self.canvas[FIT].set_quick_edit_info.assert_not_called()
mock_presenter.return_value.hide.assert_called_once_with("Model Data")
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.MainPlotWidgetPresenter'
)
def test_plot_mode_changed_by_user_leave_maxent(self, mock_presenter):
mock_presenter.return_value = mock.MagicMock(
autospec=MainPlotWidgetPresenter)
self.add_all_panes()
self.widget.insert_plot_panes()
self.widget._current_plot_mode = "Maxent Dual plot"
type(mock_presenter.return_value).get_plot_mode = mock.PropertyMock(
return_value="Fit Data")
self.widget.handle_plot_mode_changed_by_user()
# check it does not force any plots to update
self.canvas[DATA].set_quick_edit_info.assert_not_called()
self.canvas[FIT].set_quick_edit_info.assert_not_called()
mock_presenter.return_value.hide.assert_called_once_with(
"Maxent Dual plot")
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.MainPlotWidgetPresenter'
)
def test_plot_mode_changed_by_user_to_data(self, mock_presenter):
mock_presenter.return_value = mock.MagicMock(
autospec=MainPlotWidgetPresenter)
self.add_all_panes()
self.widget.insert_plot_panes()
self.widget._current_plot_mode = "Model Data"
type(mock_presenter.return_value).get_plot_mode = mock.PropertyMock(
return_value="Plot Data")
self.widget.handle_plot_mode_changed_by_user()
mock_presenter.return_value.show.assert_called_once_with("Plot Data")
self.widget.modes[RAW].handle_data_updated.assert_not_called()
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.MainPlotWidgetPresenter'
)
def test_plot_mode_changed_by_user_to_fit(self, mock_presenter):
mock_presenter.return_value = mock.MagicMock(
autospec=MainPlotWidgetPresenter)
self.add_all_panes()
self.widget.insert_plot_panes()
self.widget._current_plot_mode = "Model Data"
type(mock_presenter.return_value).get_plot_mode = mock.PropertyMock(
return_value="Fit Data")
self.widget.handle_plot_mode_changed_by_user()
mock_presenter.return_value.show.assert_called_once_with("Fit Data")
self.widget.modes[RAW].handle_data_updated.assert_not_called()
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.MainPlotWidgetPresenter'
)
def test_plot_mode_changed_by_user_to_raw(self, mock_presenter):
mock_presenter.return_value = mock.MagicMock(
autospec=MainPlotWidgetPresenter)
self.add_all_panes()
self.widget.insert_plot_panes()
self.widget._current_plot_mode = "Model Data"
type(mock_presenter.return_value).get_plot_mode = mock.PropertyMock(
return_value="Raw Data")
self.widget.handle_plot_mode_changed_by_user()
mock_presenter.return_value.show.assert_called_once_with("Raw Data")
self.widget.modes[RAW].handle_data_updated.assert_called_once_with()
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.MainPlotWidgetPresenter'
)
def test_plot_mode_changed_by_user_to_model(self, mock_presenter):
mock_presenter.return_value = mock.MagicMock(
autospec=MainPlotWidgetPresenter)
self.add_all_panes()
self.widget.insert_plot_panes()
self.widget._current_plot_mode = "Raw Data"
type(mock_presenter.return_value).get_plot_mode = mock.PropertyMock(
return_value="Model Data")
self.widget.handle_plot_mode_changed_by_user()
mock_presenter.return_value.show.assert_called_once_with("Model Data")
self.widget.modes[RAW].handle_data_updated.assert_not_called()
@mock.patch(
'mantidqtinterfaces.Muon.GUI.MuonAnalysis.plot_widget.muon_analysis_plot_widget.MainPlotWidgetPresenter'
)
def test_plot_mode_changed_by_user_to_maxent(self, mock_presenter):
mock_presenter.return_value = mock.MagicMock(
autospec=MainPlotWidgetPresenter)
self.add_all_panes()
self.widget.insert_plot_panes()
self.widget._current_plot_mode = "Raw Data"
type(mock_presenter.return_value).get_plot_mode = mock.PropertyMock(
return_value="Maxent Dual plot")
self.widget.handle_plot_mode_changed_by_user()
mock_presenter.return_value.show.assert_called_once_with(
"Maxent Dual plot")
self.widget.modes[RAW].handle_data_updated.assert_not_called()